Ying Tang
Physicist, AI for physics, stochastic dynamics, statistical physics, generative model. Professor at UESTC, Chengdu. https://jamestang23.github.io/
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@congliu.bsky.social
PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
@gbarto.bsky.social
PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning. grigorybartosh.github.io
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@leon-lang.bsky.social
PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@davidmknigge.bsky.social
PhD candidate at UvA in continuous signal modelling, geometric deep learning and dynamics.
@algarciacast.bsky.social
PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
@eijkelboomfloor.bsky.social
PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@maxxxzdn.bsky.social
PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent. Research in physics-inspired and geometric deep learning.
@lacour.bsky.social
Physics, Chemistry, Nanoscience Ultrafast Computational Spectroscopy http://computationalspectroscopy.eu Groningen
@aspuru.bsky.social
Professor of Chemistry and Computer Science University of Toronto Faculty member, Vector Institute Director, Acceleration Consortium Senior Director of Quantum Chemistry NVIDIA My views expressed here are personal and are not those of my employers.
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@zacharylipton.bsky.social
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@lebellig.bsky.social
Ph.D. student at CNAM on domain adaptation, generative models, and self-supervised learning for remote sensing and Earth observation 🛰🌎 Previously intern @SonyCSL, @Ircam, @Inria Personal website: https://lebellig.github.io/
@mvscerezo.bsky.social
Staff Scientist at Los Alamos National Laboratory. Researcher on Quantum Computing and Quantum Machine Learning. Master of dungeons.
@awehwe.bsky.social
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@gsicuro.bsky.social
Prof in Mathematical Physics at UniBo. Statistical physicist interested in disorder. https://gsicuro.github.io/
@wchnicholas.bsky.social
Assistant Professor at University of Illinois at Urbana-Champaign studying influenza, SARS-CoV-2, antibodies, evolution, and protein structures. wchnicholas.github.io
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@amurugan.bsky.social
Physics faculty at U Chicago. Work on biology, physics and whatever else is interesting.
@stephanhoyer.com
Building AI climate models at Google. I also contribute to the scientific Python ecosystem, including Xarray, NumPy and JAX. Opinions are my own, not my employer's.
@bartlettquantum.bsky.social
Professor at the University of Sydney. Quantum computing enthusiast
@abeirami.bsky.social
GenAI post-training at Google DeepMind / Google Research | ex-{Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://beirami.github.io/
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@rovargash.bsky.social
PhysChem + ML | Assistant Prof. at McMasterU | 🇲🇽 emigrant living in 🇨🇦 | Amateur cyclist on weekends | views my own https://chemai-lab.com/
@dwatsonparris.bsky.social
Climate scientist @UCSD using machine learning to improve our understanding of clouds and aerosols. 🏄♂️ Find out more about the Climate Analytics Lab here: https://climate-analytics-lab.github.io/
@pablopoggi.bsky.social
Quantum physicist. Research Fellow @PhysicsStrath. Previously @ CQuIC - @UNM. Doctor en Física de la Universidad de Buenos Aires @Fisica_UBA. https://sites.google.com/view/pablopoggi/
@keenancrane.bsky.social
Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. https://www.cs.cmu.edu/~kmcrane/
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).